Auto Router Beta
Neural Network
Auto Router Beta is an OpenRouter request router: it classifies the task and selects the appropriate model for it.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 2 000 000 tokens
- Max answer length
- 660 000 tokens
- Reasoning effort
- low, medium, high
- Capabilities
- reasoning, function calling
How it works Auto Router Beta?
Auto Router Beta is an OpenRouter development that works differently than a standard model: it doesn't answer itself, but analyzes the incoming request, determines the task type, and passes it to the model most frequently chosen for such tasks based on total costs, considering your filters. Through BotHub, the router is available without a VPN or foreign card, with payment in rubles via Russian cards and pay-as-you-go for tokens that do not expire. Over 250 models are available in one window, making it easy to compare routing results with manual selection, and a unified OpenAI-compatible API allows connecting Auto Router Beta to your service; correspondence is encrypted via AES-GCM and not saved. For companies, we offer contracts, invoices, electronic document management (EDO), and an admin panel with limits. It is useful in support, where short questions and complex analyses are mixed; in prototypes, when it's unclear which model will perform better; in automating routines like summaries and emails; and in teams where not everyone understands the differences between models.Frequently asked questions about Auto Router Beta
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
auto-beta is a text model with request routing from OpenRouter. It is suitable for working with code: writing functions, refactoring, debugging, and explaining others' projects. It also handles reasoning and STEM tasks, document analytics, data extraction from images, and building agent scenarios via tool calling.
Up to 660,000 tokens in a single response — enough for voluminous documentation, large code modules, or a detailed analysis of a large project. The context is 2,000,000 tokens, so you can include both source code and several documents in one request.
Yes, reasoning mode is supported: the model builds a solution path before the final answer. This significantly helps in mathematics, logic, multi-step task analysis, and debugging code, where sequential verification of each step is more important than guessing.
Yes, function calling and structured JSON output are available. The model can access your tools, databases, and external services, and return the answer in a predictable schema — convenient for agents, parsers, and integrations where the result goes directly into code.
Images and documents — yes: you can ask questions about them, extract data from screenshots, diagrams, tables, and PDFs. Document support is native. There is no mention of audio and video in our data, so for such files, it is better to choose a specialized model in BotHub.
The model handles Russian queries normally — we don't have specific quality measurements, so please test it with your task. It's fast: in BotHub, you work from Russia without a VPN or foreign card, pay in rubles for tokens as you go, and switching to another model doesn't require rewriting the integration.